fiezt / Stackelberg-CodeLinks
Code for "Convergence of Learning Dynamics in Stackelberg Games"
☆13Updated 6 years ago
Alternatives and similar repositories for Stackelberg-Code
Users that are interested in Stackelberg-Code are comparing it to the libraries listed below
Sorting:
- ☆46Updated 3 years ago
- ☆12Updated 5 years ago
- Adversarial attacks in consensus-based multi-agent reinforcement learning☆25Updated 2 years ago
- Adversarial attacks on Deep Reinforcement Learning (RL)☆98Updated 4 years ago
- The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.☆29Updated 7 years ago
- This is code for finding the minimax/nash/stackelberg strategy of players in Markov Games.☆26Updated 5 months ago
- Using WoLF (win or learn fast) PHC (policy hill climbing) algorithm to implement stochastic games☆14Updated 6 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆104Updated 2 years ago
- Hybrid action space reinforcement learning algorithms.☆13Updated 4 years ago
- PyTorch implementation of Constrained Policy Optimization☆56Updated 4 years ago
- Nash Q Learning☆32Updated 5 years ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 5 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆59Updated 3 years ago
- BranchingDQN☆50Updated 6 years ago
- Explainable Causal Reinforcement Learning with attention☆33Updated 2 years ago
- This is the code repository for the paper "Zero-Sum Stochastic Stackelberg Games".☆16Updated 3 years ago
- ☆90Updated 4 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆52Updated 6 years ago
- [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"☆139Updated 4 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆87Updated 8 years ago
- Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?☆27Updated last year
- 强化学习中纳什Qlearning 实现矩阵博弈☆30Updated 6 years ago
- Official implementation for the NeurIPS 2023 paper: "Reduced Policy Optimization for Continuous Control with Hard Constraints"☆41Updated last year
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆61Updated 5 years ago
- Multi-objective reinforcement learning deals with finding policies for tasks where there are multiple distinct criteria to optimize for. …☆24Updated 6 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆207Updated last year
- This repo contains the code of "Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic".☆28Updated 3 years ago
- Decentralized deep multi-agent reinforcement learning in physical environments.☆14Updated 7 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆41Updated 3 years ago
- Solves a Mixed Integer Linear Program to generate the Stacklberg Equilibrium of a General-sum (+Bayesian) Games.☆36Updated 6 years ago